Cati Brown

821 citations
11 papers · 484 · h-index 7

Impact in

Papers in

Cati Brown

9 papers receiving 448 citations

Peers

Cati Brown
Comparison fields: 5 of 71
  • Psychiatry and Mental health 128
  • Developmental and Educational Psychology 114
  • Cognitive Neuroscience 161
  • Language and Linguistics 44
  • Experimental and Cognitive Psychology 52
Replace Audrey S. Bahrick with:
Audrey S. Bahrick United States
Emma Marsden United States
Ethan Weed Denmark
Mary Louise Walsh Canada
Arndis Simonsen Denmark
Paulina A. Kulesz United States
Daniel Gaonac’h France
Rinat Gold Israel
Xiuyan Guo China
Devin M. Casenhiser United States
Cati Brown relative to Audrey S. Bahrick United States Audrey S. Bahrick's profile →
Citations per field
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Audrey S. Bahrick · 1×
Citations per year

Countries citing papers authored by Cati Brown

Since Specialization
Citations

This map shows the geographic impact of Cati Brown's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cati Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cati Brown more than expected).

Fields of papers citing papers by Cati Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cati Brown. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cati Brown. The network helps show where Cati Brown may publish in the future.

Co-authors

The 21 scholars most cited alongside Cati Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cati Brown Line = papers co-authored together Cati Brown links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005228
2 2008146
3
HOW COMPLEX IS THAT SENTENCE? A PROPOSED REVISION OF THE ROSENBERG AND ABBEDUTO D-LEVEL SCALE
200642
4 200722
5 201317
6 200513
7 20058
8 20045
9 20042
10
Reduced idea density in speech as an idicator of schizophrenia and ketamine intoxication
20051
11
Strategic Trust Building: The Use of Linguistic Devices to Induce Trust
20050

About Cati Brown

Cati Brown is a scholar working on Sociology and Political Science, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology and Literature and Literary Theory, having authored 11 papers that have together received 484 indexed citations. Recurring topics across this work include Discourse Analysis in Language Studies (2 papers), Neurobiology of Language and Bilingualism (2 papers), Critical Realism in Sociology (2 papers), Natural Language Processing Techniques (2 papers), Functional Brain Connectivity Studies (2 papers), Housing, Finance, and Neoliberalism (1 paper), linguistics and terminology studies (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Psychiatry and Mental health (128 citations), Developmental and Educational Psychology (114 citations), Cognitive Neuroscience (161 citations), Language and Linguistics (44 citations) and Experimental and Cognitive Psychology (52 citations). Cati Brown has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Michael A. Covington, Congzhou He, Lorina Naçi, James Semple, John Brown, Susan Kemper, Ruth Herman, Jonathan T. McClain, Janine K. Cataldo and John Seely Brown. Their work appears in journals such as Critical Discourse Studies, Journal of English Linguistics, Behavior Research Methods, Journal of Psychopharmacology and Nursing Inquiry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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